CN105093040A - Transformer station on-line monitoring system with high safety - Google Patents
Transformer station on-line monitoring system with high safety Download PDFInfo
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- CN105093040A CN105093040A CN201510569224.9A CN201510569224A CN105093040A CN 105093040 A CN105093040 A CN 105093040A CN 201510569224 A CN201510569224 A CN 201510569224A CN 105093040 A CN105093040 A CN 105093040A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 136
- 230000036541 health Effects 0.000 claims abstract description 112
- 238000012806 monitoring device Methods 0.000 claims abstract description 23
- 238000004146 energy storage Methods 0.000 claims description 60
- 239000007789 gas Substances 0.000 claims description 52
- 230000009471 action Effects 0.000 claims description 36
- 238000007405 data analysis Methods 0.000 claims description 33
- 238000004088 simulation Methods 0.000 claims description 33
- 239000003990 capacitor Substances 0.000 claims description 25
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 24
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 24
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 24
- 230000005611 electricity Effects 0.000 claims description 20
- 230000003578 releasing effect Effects 0.000 claims description 18
- 239000004215 Carbon black (E152) Substances 0.000 claims description 12
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 12
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 claims description 12
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 claims description 12
- HSFWRNGVRCDJHI-UHFFFAOYSA-N alpha-acetylene Natural products C#C HSFWRNGVRCDJHI-UHFFFAOYSA-N 0.000 claims description 12
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 12
- 239000001569 carbon dioxide Substances 0.000 claims description 12
- 229910002091 carbon monoxide Inorganic materials 0.000 claims description 12
- 125000002534 ethynyl group Chemical group [H]C#C* 0.000 claims description 12
- 229930195733 hydrocarbon Natural products 0.000 claims description 12
- 150000002430 hydrocarbons Chemical class 0.000 claims description 12
- 229910052739 hydrogen Inorganic materials 0.000 claims description 12
- 239000001257 hydrogen Substances 0.000 claims description 12
- 125000004435 hydrogen atom Chemical class [H]* 0.000 claims description 12
- 238000009413 insulation Methods 0.000 claims description 12
- APTZNLHMIGJTEW-UHFFFAOYSA-N pyraflufen-ethyl Chemical compound C1=C(Cl)C(OCC(=O)OCC)=CC(C=2C(=C(OC(F)F)N(C)N=2)Cl)=C1F APTZNLHMIGJTEW-UHFFFAOYSA-N 0.000 claims description 12
- 150000003839 salts Chemical class 0.000 claims description 12
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 9
- 239000003795 chemical substances by application Substances 0.000 claims description 9
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000004321 preservation Methods 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 3
- 230000007613 environmental effect Effects 0.000 abstract 1
- 230000003862 health status Effects 0.000 description 11
- 230000007423 decrease Effects 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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Abstract
The present invention discloses a transformer station on-line monitoring system with high safety, comprising a server side and a transformer station side. The server side is connected with the transformer station side; the server side includes a database, a server, an interface machine and a status information access gateway machine which are connected with each other through a first stage electric power information network; the transformer station side includes a plurality of transformer stations, each transformer station consists of a status information access control machine and a status monitoring facility which are connected with each other through an station information network, and the status information access control machine is directly connected with the status monitoring facility or is connected with the status monitoring facility through a status monitoring agent device; and the status monitoring facility consists of a transformer, a GIS partial discharge device, a breaker, a capacitance transformer, a voltage transformer, an arrester, an environmental monitoring instrument, an SF6 gas monitoring device, an oil gas monitoring device of the transformer, a disconnecting switch and a direct current system. According to the invention, the monitoring frequently-used data is subjected to the determination of the scope, and at the same time the health values and the potential faults of the monitoring frequently-used data are diagnosed, therefore the transformer station on-line monitoring system with high safety is safe and reliable.
Description
Technical field
The present invention relates to the Transformer Substation Online Monitoring System that a kind of security performance is high.
Background technology
Transformer station, changes the place of voltage.In order to the electric energy that generating plant is sent is transported to place far away, voltage must be raised, become high-tension electricity, on demand voltage be reduced near user again, the work of this buck/boost has come by transformer station.The major equipment of transformer station is switch and transformer.Different by scale, little is called electric substation.Transformer station is greater than electric substation.Electric substation: be generally the step-down substation of electric pressure at below 110KV; Transformer station: " boosting, the step-down " transformer station comprising various electric pressure.Transformer station is voltage of transformation in electric system, acceptance and distribution electric energy, the flow direction of control electric power and the electric power facility of adjustment voltage, and it is got up by the grid contact of its transformer by each step voltage.Transformer station is in specific environment; By AC-DC-AC transfer process.In picture seabed feeder cable and at a distance conveying.Some adopts high voltage direct current power transmission and transformation form.Direct current transportation overcomes the capacitive reactance loss of ac transmission.There is energy saving effect.The major equipment of transformer station and connected mode, variant by its function difference.Therefore, a kind of equipment to transformer station is needed to carry out the system of on-line monitoring.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, the Transformer Substation Online Monitoring System that a kind of security performance is high is provided.
The object of the invention is to be achieved through the following technical solutions: the Transformer Substation Online Monitoring System that a kind of security performance is high, it comprises server end and transformer substation end; Server end is connected with transformer substation end by second level Electricity Information Network;
Described server end comprise by first order Electricity Information Network be connected to each other real-time/historical data base, server, interface message processor (IMP) and status information Access Network shutdown;
Described transformer substation end comprises multiple transformer station, described transformer station comprises by station internal information net interconnective status information Access Control machine and condition monitoring device, and wherein status information Access Control machine directly or be connected with condition monitoring device by state monitoring agent device;
Described condition monitoring device comprises transformer, equipment is put in GIS office, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, disconnector and straight-flow system, and wherein the monitoring variable of transformer comprises iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage; The monitoring variable that GIS office puts comprises partial discharge quantity maximal value, discharge phase and discharge time; The monitoring variable of isolating switch comprises running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke; The monitoring variable of capacitor mutual-inductor comprises leakage current, dielectric loss, electric capacity and three-phase leakage current sum; The monitoring variable of voltage transformer (VT) comprises the difference of secondary side voltage, three-phase voltage sum, in the same way voltage; The monitoring variable of lightning arrester comprises leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency; The monitoring variable of enviromental monitoring equipment comprises temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current; The monitoring variable of SF6 gas monitor apparatus comprises environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed; The monitoring variable of Gas in Oil of Transformer monitoring equipment comprises hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide; The monitoring variable of disconnector comprises contact temperature; The monitoring variable of straight-flow system comprises positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road;
The monitoring variable of the condition monitoring device received is sent to the shutdown of status information Access Network by station internal information net, second level Electricity Information Network, first order Electricity Information Network by status information Access Control machine successively, the shutdown of status information Access Network forwards the data to interface message processor (IMP), interface message processor (IMP) sends data in real time/historical data base preservation, and server is analyzed in real time/historical data simultaneously:
Data analysis for transformer: set up the monitoring variable of transformer and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of core ground current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage is weighted on average according to certain weight, be formed in the first dimensionless group between 0 to 1, the health value of transformer is represented with (1-first dimensionless group) * 100, when the health value of transformer is less than the transformer health value threshold value of setting, produce warning information; Simultaneously when iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage wherein have one to exceed setting range, also warning information can be produced;
GIS office is put to the data analysis of equipment: set up GIS office and put the monitoring variable of equipment and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of partial discharge quantity maximal value, discharge phase and discharge time respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of partial discharge quantity maximal value, discharge phase and discharge time is weighted on average according to certain weight, be formed in the second dimensionless group between 0 to 1, the health value that equipment is put in GIS office is represented with (1-second dimensionless group) * 100, equipment health value threshold value is put in the GIS office that the health value of putting equipment when GIS office is less than setting, produces warning information; Simultaneously when partial discharge quantity maximal value, discharge phase and discharge time wherein have one to exceed setting range, also warning information can be produced;
Data analysis for isolating switch: set up the monitoring variable of isolating switch and the system of time correlation, automatic basis in real time/data of historical data base form running current respectively, voltage, backward stick action speed and backward stick action stroke are clicked in dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage time series, by all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert, respectively by running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, voltage is clicked in energy storage, the eigenwert of backward stick action speed and backward stick action stroke is weighted on average according to certain weight, be formed in the 3rd dimensionless group between 0 to 1, the health value of isolating switch is represented with (1-the 3rd dimensionless group) * 100, when the health value of isolating switch is less than setting isolating switch health value threshold value, produce warning information, simultaneously when running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke wherein have one to exceed setting range, also warning information can be produced.
Data analysis for capacitor mutual-inductor: set up the monitoring variable of capacitor mutual-inductor and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, dielectric loss, electric capacity and three-phase leakage current sum respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of leakage current, dielectric loss, electric capacity and three-phase leakage current is weighted on average according to certain weight, be formed in the 4th dimensionless group between 0 to 1, the health value of capacitor mutual-inductor is represented with (1-the 4th dimensionless group) * 100, when the health value of capacitor mutual-inductor is less than the capacitor mutual-inductor health value threshold value of setting, produce warning information; Simultaneously when leakage current, dielectric loss, electric capacity and three-phase leakage current sum wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for voltage transformer (VT): set up the monitoring variable of voltage transformer (VT) and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of difference of secondary side voltage, three-phase voltage sum, in the same way voltage respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of the difference of secondary side voltage, three-phase voltage sum, in the same way voltage is weighted on average according to certain weight, be formed in the 5th dimensionless group between 0 to 1, by the health value of (1-the 5th dimensionless group) * 100 representative voltage mutual inductors, when the health value of voltage transformer (VT) is less than the voltage transformer (VT) health value threshold value of setting, produce warning information; Simultaneously when the difference of secondary side voltage, three-phase voltage sum, in the same way voltage wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for lightning arrester: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency is weighted on average according to certain weight, be formed in the 6th dimensionless group between 0 to 1, the health value of lightning arrester is represented with (1-the 6th dimensionless group) * 100, when the health value of lightning arrester is less than setting lightning arrester health value threshold value, produce warning information; Simultaneously when leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for enviromental monitoring equipment: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/time series of the data of historical data base formation temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current is weighted on average according to certain weight, be formed in the 7th dimensionless group between 0 to 1, the health value of the situation that controls environment is represented with (1-the 7th dimensionless group) * 100, when the health value of the situation of controling environment is less than set environment monitoring equipment health value threshold value, produce warning information; Simultaneously when temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for SF6 gas monitor apparatus: set up the monitoring variable of SF6 gas monitor apparatus and the system of time correlation; Automatic basis in real time/time series of the data of historical data base soil boy structure temperature, ambient humidity, micro-water content, pressure, 20 degree pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasing of pressure atresia thresholding, pressure atresia respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert that environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed is weighted on average according to certain weight, be formed in the 8th dimensionless group between 0 to 1, the health value of the equipment that control SF6 gas produces is represented with (1-the 8th dimensionless group) * 100, the health value of equipment produced when control SF6 gas is less than the SF6 gas monitor apparatus health value threshold value of setting, produces warning information; Simultaneously when environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasings of pressure atresia thresholding, pressure atresia wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for Gas in Oil of Transformer monitoring equipment: set up the monitoring variable of Gas in Oil of Transformer monitoring equipment and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide is weighted on average according to certain weight, be formed in the 9th dimensionless group between 0 to 1, the health value of the equipment producing Gas in Oil of Transformer is represented with (1-the 9th dimensionless group) * 100, when the health value of equipment producing Gas in Oil of Transformer is less than the Gas in Oil of Transformer monitoring equipment health value threshold value of setting, produce warning information; Simultaneously when hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for disconnector: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of contact temperature respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of contact temperature is weighted on average according to certain weight, be formed in the tenth dimensionless group between 0 to 1, the health value of disconnector is represented with (1-the tenth dimensionless group) * 100, when the health value of disconnector is less than setting disconnector health value threshold value, produce warning information; Simultaneously when contact temperature wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for straight-flow system: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road is weighted on average according to certain weight, be formed in the 11 dimensionless group between 0 to 1, the health value of straight-flow system is represented with (1-the 11 dimensionless group) * 100, when the health value of straight-flow system is less than setting straight-flow system health value threshold value, produce warning information; Simultaneously when positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road wherein have one to exceed setting threshold value, also warning information can be produced.
At least one firewall box is provided with between described first order Electricity Information Network and second level Electricity Information Network.
Described state monitoring agent device is connected with multiple condition monitoring device by multiport transponder; 103/104 communication protocol is adopted between multiport transponder and condition monitoring device.
I2 interface protocol is adopted between described second level Electricity Information Network and station internal information net; DL/T860 stipulations are adopted between status information Access Control machine and state monitoring agent device; DL/T860 stipulations are adopted between status information Access Control machine and condition monitoring device; I2 interface protocol is adopted between interface message processor (IMP) and the shutdown of status information Access Network.
The invention has the beneficial effects as follows: the present invention is put equipment, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, disconnector and straight-flow system carry out on-line monitoring to transformer conventional in transformer station, GIS office, is delivered to the status information Access Control machine of server end by the Data Concurrent of the status information Access Control machine acquisition state monitoring equipment being arranged at transformer substation end.Server is not only to transformer, equipment is put in GIS office, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, the frequently-used data of disconnector and straight-flow system carries out scope judgement, also pass through transformer, the frequently-used data that equipment and isolating switch are put in GIS office carries out the diagnosis of health value, carry out transformer, equipment is put in GIS office, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, the incipient fault of disconnector and straight-flow system is diagnosed, safe and reliable.
Accompanying drawing explanation
Fig. 1 is block diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail: as shown in Figure 1, the Transformer Substation Online Monitoring System that a kind of security performance is high, it comprises server end and transformer substation end; Server end is connected with transformer substation end by second level Electricity Information Network;
Described server end comprise by first order Electricity Information Network be connected to each other real-time/historical data base, server, interface message processor (IMP) and status information Access Network shutdown;
Described transformer substation end comprises multiple transformer station, described transformer station comprises by station internal information net interconnective status information Access Control machine and condition monitoring device, and wherein status information Access Control machine directly or be connected with condition monitoring device by state monitoring agent device;
Described condition monitoring device comprises transformer, equipment is put in GIS office, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, disconnector and straight-flow system, and wherein the monitoring variable of transformer comprises iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage; The monitoring variable that GIS office puts comprises partial discharge quantity maximal value, discharge phase and discharge time; The monitoring variable of isolating switch comprises running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke; The monitoring variable of capacitor mutual-inductor comprises leakage current, dielectric loss, electric capacity and three-phase leakage current sum; The monitoring variable of voltage transformer (VT) comprises the difference of secondary side voltage, three-phase voltage sum, in the same way voltage; The monitoring variable of lightning arrester comprises leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency; The monitoring variable of enviromental monitoring equipment comprises temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current; The monitoring variable of SF6 gas monitor apparatus comprises environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed; The monitoring variable of Gas in Oil of Transformer monitoring equipment comprises hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide; The monitoring variable of disconnector comprises contact temperature; The monitoring variable of straight-flow system comprises positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road; SF6 gas monitor apparatus is used for the SF6 gas of monitoring breaker and combined electrical apparatus.
The monitoring variable of the condition monitoring device received is sent to the shutdown of status information Access Network by station internal information net, second level Electricity Information Network, first order Electricity Information Network by status information Access Control machine successively, the shutdown of status information Access Network forwards the data to interface message processor (IMP), interface message processor (IMP) sends data in real time/historical data base preservation, and server is analyzed in real time/historical data simultaneously:
Data analysis for transformer: set up the monitoring variable of transformer and the system of time correlation; Automatically the time series of iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage is formed respectively according to the data of in real time/historical data base after the certain hour set; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of core ground current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage is weighted on average according to certain weight, be formed in the first dimensionless group between 0 to 1, the first dimensionless group represents the degree that transformer performance declines; Represent the health value of transformer with (1-first dimensionless group) * 100, more represent that health degrees are better close to 100, more represent that health status is poorer close to 0 on the contrary, when the health value of transformer is less than the transformer health value threshold value of setting, produce warning information; Simultaneously when iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage wherein have one to exceed setting range, also warning information can be produced;
GIS office is put to the data analysis of equipment: set up GIS office and put the monitoring variable of equipment and the system of time correlation; Automatically the time series of partial discharge quantity maximal value, discharge phase and discharge time is formed respectively according to the data of in real time/historical data base after the certain hour set; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; The eigenwert of partial discharge quantity maximal value, discharge phase and discharge time be weighted on average according to certain weight respectively, be formed in the second dimensionless group between 0 to 1, the second dimensionless group represents the degree that equipment performance decline is put in GIS office; The health value that equipment is put in GIS office is represented with (1-second dimensionless group) * 100, more represent that health degree is better close to 100, contrary more represent that health status is poorer close to 0, equipment health value threshold value is put in the GIS office that the health value of putting equipment when GIS office is less than setting, produces warning information; Simultaneously when partial discharge quantity maximal value, discharge phase and discharge time wherein have one to exceed setting range, also warning information can be produced;
Data analysis for isolating switch: set up the monitoring variable of isolating switch and the system of time correlation, automatically running current is formed respectively according to the data of in real time/historical data base after the certain hour set, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, voltage is clicked in energy storage, the time series of backward stick action speed and backward stick action stroke, by all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert, respectively by running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, voltage is clicked in energy storage, the eigenwert of backward stick action speed and backward stick action stroke is weighted on average according to certain weight, be formed in the 3rd dimensionless group between 0 to 1, 3rd dimensionless group represents the degree of isolating switch hydraulic performance decline, represent the health value of isolating switch with (1-the 3rd dimensionless group) * 100, more represent that health degree is better close to 100, more represent that health status is poorer close to 0 on the contrary, when the health value of isolating switch is less than setting isolating switch health value threshold value, produce warning information, simultaneously when running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke wherein have one to exceed setting range, also warning information can be produced.
Data analysis for capacitor mutual-inductor: set up the monitoring variable of capacitor mutual-inductor and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, dielectric loss, electric capacity and three-phase leakage current sum respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; The eigenwert of leakage current, dielectric loss, electric capacity and three-phase leakage current be weighted on average according to certain weight respectively, be formed in the 4th dimensionless group between 0 to 1, the 4th dimensionless group represents the degree of capacitor mutual-inductor hydraulic performance decline; The health value of capacitor mutual-inductor is represented with (1-the 4th dimensionless group) * 100, more represent that health degree is better close to 100, contrary more represent that health status is poorer close to 0, when the health value of capacitor mutual-inductor is less than the capacitor mutual-inductor health value threshold value of setting, produce warning information; Simultaneously when leakage current, dielectric loss, electric capacity and three-phase leakage current sum wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for voltage transformer (VT): set up the monitoring variable of voltage transformer (VT) and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of difference of secondary side voltage, three-phase voltage sum, in the same way voltage respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; The eigenwert of the difference of secondary side voltage, three-phase voltage sum, in the same way voltage be weighted on average according to certain weight respectively, be formed in the 5th dimensionless group between 0 to 1, the 5th dimensionless group represents the degree of voltage transformer (VT) hydraulic performance decline; By the health value of (1-the 5th dimensionless group) * 100 representative voltage mutual inductors, more represent that health degree is better close to 100, contrary more represent that health status is poorer close to 0, when the health value of voltage transformer (VT) is less than the voltage transformer (VT) health value threshold value of setting, produce warning information; Simultaneously when the difference of secondary side voltage, three-phase voltage sum, in the same way voltage wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for lightning arrester: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; The eigenwert of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency be weighted on average according to certain weight respectively, be formed in the 6th dimensionless group between 0 to 1, the 6th dimensionless group represents the degree of lightning arrester hydraulic performance decline; Represent the health value of lightning arrester with (1-the 6th dimensionless group) * 100, more represent that health degree is better close to 100, more represent that health status is poorer close to 0 on the contrary, when the health value of lightning arrester is less than setting lightning arrester health value threshold value, produce warning information; Simultaneously when leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for enviromental monitoring equipment: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/time series of the data of historical data base formation temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current is weighted on average according to certain weight, be formed in the 7th dimensionless group between 0 to 1, the 7th dimensionless group represents the degree of enviromental monitoring equipment hydraulic performance decline; The health value of the situation that controls environment is represented with (1-the 7th dimensionless group) * 100, more represent that health degree is better close to 100, contrary more poorer close to 0 expression health status, when the health value of the situation of controling environment is less than set environment monitoring equipment health value threshold value, produce warning information; Simultaneously when temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current wherein have one to exceed setting threshold value, also warning information can be produced.
Data analysis for SF6 gas monitor apparatus: set up the monitoring variable of SF6 gas monitor apparatus and the system of time correlation; Automatic basis in real time/time series of the data of historical data base soil boy structure temperature, ambient humidity, micro-water content, pressure, 20 degree pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasing of pressure atresia thresholding, pressure atresia respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert that environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed is weighted on average according to certain weight, be formed in the 8th dimensionless group between 0 to 1, the 8th dimensionless group represents the degree of SF6 gas monitor apparatus hydraulic performance decline; The health value of the equipment that control SF6 gas produces is represented with (1-the 8th dimensionless group) * 100, more represent that health degree is better close to 100, contrary more poorer close to 0 expression health status, the health value of equipment produced when control SF6 gas is less than the SF6 gas monitor apparatus health value threshold value of setting, produces warning information; Simultaneously when environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasings of pressure atresia thresholding, pressure atresia wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for Gas in Oil of Transformer monitoring equipment: set up the monitoring variable of Gas in Oil of Transformer monitoring equipment and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide is weighted on average according to certain weight, be formed in the 9th dimensionless group between 0 to 1, the 9th dimensionless group represents the degree of Gas in Oil of Transformer monitoring equipment hydraulic performance decline; The health value of the equipment producing Gas in Oil of Transformer is represented with (1-the 9th dimensionless group) * 100, more represent that health degree is better close to 100, contrary more poorer close to 0 expression health status, when the health value of equipment producing Gas in Oil of Transformer is less than the Gas in Oil of Transformer monitoring equipment health value threshold value of setting, produce warning information; Simultaneously when hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for disconnector: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of contact temperature respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; The eigenwert of contact temperature be weighted on average according to certain weight respectively, be formed in the tenth dimensionless group between 0 to 1, the tenth dimensionless group represents the degree of disconnector hydraulic performance decline; Represent the health value of disconnector with (1-the tenth dimensionless group) * 100, more represent that health degree is better close to 100, more represent that health status is poorer close to 0 on the contrary, when the health value of disconnector is less than setting disconnector health value threshold value, produce warning information; Simultaneously when contact temperature wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for straight-flow system: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road is weighted on average according to certain weight, be formed in the 11 dimensionless group between 0 to 1, the 11 dimensionless group represents the degree of straight-flow system hydraulic performance decline; The health value of straight-flow system is represented with (1-the 11 dimensionless group) * 100, more represent that health degree is better close to 100, contrary more poorer close to 0 expression health status, when the health value of straight-flow system is less than setting straight-flow system health value threshold value, produce warning information; Simultaneously when positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road wherein have one to exceed setting threshold value, also warning information can be produced.
At least one firewall box is provided with between described first order Electricity Information Network and second level Electricity Information Network.
Described state monitoring agent device is connected with multiple condition monitoring device by multiport transponder; 103/104 communication protocol is adopted between multiport transponder and condition monitoring device.
I2 interface protocol is adopted between described second level Electricity Information Network and station internal information net; DL/T860 stipulations are adopted between status information Access Control machine and state monitoring agent device; DL/T860 stipulations are adopted between status information Access Control machine and condition monitoring device; I2 interface protocol is adopted between interface message processor (IMP) and the shutdown of status information Access Network.
Claims (3)
1. the Transformer Substation Online Monitoring System that security performance is high, is characterized in that: it comprises server end and transformer substation end; Server end is connected with transformer substation end by second level Electricity Information Network;
Described server end comprise by first order Electricity Information Network be connected to each other real-time/historical data base, server, interface message processor (IMP) and status information Access Network shutdown;
Described transformer substation end comprises multiple transformer station, described transformer station comprises by station internal information net interconnective status information Access Control machine and condition monitoring device, and wherein status information Access Control machine directly or be connected with condition monitoring device by state monitoring agent device;
Described condition monitoring device comprises transformer, equipment is put in GIS office, isolating switch, capacitor mutual-inductor, voltage transformer (VT), lightning arrester, enviromental monitoring equipment, SF6 gas monitor apparatus, Gas in Oil of Transformer monitoring equipment, disconnector and straight-flow system, and wherein the monitoring variable of transformer comprises iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage; The monitoring variable that GIS office puts comprises partial discharge quantity maximal value, discharge phase and discharge time; The monitoring variable of isolating switch comprises running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke; The monitoring variable of capacitor mutual-inductor comprises leakage current, dielectric loss, electric capacity and three-phase leakage current sum; The monitoring variable of voltage transformer (VT) comprises the difference of secondary side voltage, three-phase voltage sum, in the same way voltage; The monitoring variable of lightning arrester comprises leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency; The monitoring variable of enviromental monitoring equipment comprises temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current; The monitoring variable of SF6 gas monitor apparatus comprises environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed; The monitoring variable of Gas in Oil of Transformer monitoring equipment comprises hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide; The monitoring variable of disconnector comprises contact temperature; The monitoring variable of straight-flow system comprises positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road;
The monitoring variable of the condition monitoring device received is sent to the shutdown of status information Access Network by station internal information net, second level Electricity Information Network, first order Electricity Information Network by status information Access Control machine successively, the shutdown of status information Access Network forwards the data to interface message processor (IMP), interface message processor (IMP) sends data in real time/historical data base preservation, and server is analyzed in real time/historical data simultaneously:
Data analysis for transformer: set up the monitoring variable of transformer and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of core ground current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage is weighted on average according to certain weight, be formed in the first dimensionless group between 0 to 1, the health value of transformer is represented with (1-first dimensionless group) * 100, when the health value of transformer is less than the transformer health value threshold value of setting, produce warning information; Simultaneously when iron core grounding current, transformer oil pump condition, transformer blower fan operating mode, transformer oil pump working current, transformer blower fan working current, transformer blower fan operating voltage wherein have one to exceed setting range, also warning information can be produced;
GIS office is put to the data analysis of equipment: set up GIS office and put the monitoring variable of equipment and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of partial discharge quantity maximal value, discharge phase and discharge time respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of partial discharge quantity maximal value, discharge phase and discharge time is weighted on average according to certain weight, be formed in the second dimensionless group between 0 to 1, the health value that equipment is put in GIS office is represented with (1-second dimensionless group) * 100, equipment health value threshold value is put in the GIS office that the health value of putting equipment when GIS office is less than setting, produces warning information; Simultaneously when partial discharge quantity maximal value, discharge phase and discharge time wherein have one to exceed setting range, also warning information can be produced;
Data analysis for isolating switch: set up the monitoring variable of isolating switch and the system of time correlation, automatic basis in real time/data of historical data base form running current respectively, voltage, backward stick action speed and backward stick action stroke are clicked in dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage time series, by all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert, respectively by running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, voltage is clicked in energy storage, the eigenwert of backward stick action speed and backward stick action stroke is weighted on average according to certain weight, be formed in the 3rd dimensionless group between 0 to 1, the health value of isolating switch is represented with (1-the 3rd dimensionless group) * 100, when the health value of isolating switch is less than setting isolating switch health value threshold value, produce warning information, simultaneously when running current, dropout current, accumulative dropout current, closing operation number of times, sub-switching operation number of times, separating brake current amplitude, switching current amplitude, separating brake current peak, switching current peak value, opening time, closing time, accumulative contact head abrasive loss, the energy storage motor number of starts, energy storage motor electric current, energy storage motor single energy storage time, energy storage click voltage, backward stick action speed and backward stick action stroke wherein have one to exceed setting range, also warning information can be produced,
Data analysis for capacitor mutual-inductor: set up the monitoring variable of capacitor mutual-inductor and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, dielectric loss, electric capacity and three-phase leakage current sum respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of leakage current, dielectric loss, electric capacity and three-phase leakage current is weighted on average according to certain weight, be formed in the 4th dimensionless group between 0 to 1, the health value of capacitor mutual-inductor is represented with (1-the 4th dimensionless group) * 100, when the health value of capacitor mutual-inductor is less than the capacitor mutual-inductor health value threshold value of setting, produce warning information; Simultaneously when leakage current, dielectric loss, electric capacity and three-phase leakage current sum wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for voltage transformer (VT): set up the monitoring variable of voltage transformer (VT) and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of difference of secondary side voltage, three-phase voltage sum, in the same way voltage respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of the difference of secondary side voltage, three-phase voltage sum, in the same way voltage is weighted on average according to certain weight, be formed in the 5th dimensionless group between 0 to 1, by the health value of (1-the 5th dimensionless group) * 100 representative voltage mutual inductors, when the health value of voltage transformer (VT) is less than the voltage transformer (VT) health value threshold value of setting, produce warning information; Simultaneously when the difference of secondary side voltage, three-phase voltage sum, in the same way voltage wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for lightning arrester: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency is weighted on average according to certain weight, be formed in the 6th dimensionless group between 0 to 1, the health value of lightning arrester is represented with (1-the 6th dimensionless group) * 100, when the health value of lightning arrester is less than setting lightning arrester health value threshold value, produce warning information; Simultaneously when leakage current, current in resistance property, capacitance-resistance ratio, thunderbolt time and action frequency wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for enviromental monitoring equipment: set up the monitoring variable of lightning arrester and the system of time correlation; Automatic basis in real time/time series of the data of historical data base formation temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current is weighted on average according to certain weight, be formed in the 7th dimensionless group between 0 to 1, the health value of the situation that controls environment is represented with (1-the 7th dimensionless group) * 100, when the health value of the situation of controling environment is less than set environment monitoring equipment health value threshold value, produce warning information; Simultaneously when temperature, humidity, accumulator float charge voltage, accumulator even charging voltage, single battery voltage, accumulator internal resistance, equivalent salt density, average leakage current, maximum leakage electric current and leakage current wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for SF6 gas monitor apparatus: set up the monitoring variable of SF6 gas monitor apparatus and the system of time correlation; Automatic basis in real time/time series of the data of historical data base soil boy structure temperature, ambient humidity, micro-water content, pressure, 20 degree pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasing of pressure atresia thresholding, pressure atresia respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert that environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, pressure atresia thresholding, pressure atresias are removed is weighted on average according to certain weight, be formed in the 8th dimensionless group between 0 to 1, the health value of the equipment that control SF6 gas produces is represented with (1-the 8th dimensionless group) * 100, the health value of equipment produced when control SF6 gas is less than the SF6 gas monitor apparatus health value threshold value of setting, produces warning information; Simultaneously when environment temperature, ambient humidity, micro-water content, pressure, 20 degree of pressure, humidity, 20 degree of humidity, density, temperature, dew point, pressure alarm thresholding, pressure alarm releasing, the releasings of pressure atresia thresholding, pressure atresia wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for Gas in Oil of Transformer monitoring equipment: set up the monitoring variable of Gas in Oil of Transformer monitoring equipment and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide is weighted on average according to certain weight, be formed in the 9th dimensionless group between 0 to 1, the health value of the equipment producing Gas in Oil of Transformer is represented with (1-the 9th dimensionless group) * 100, when the health value of equipment producing Gas in Oil of Transformer is less than the Gas in Oil of Transformer monitoring equipment health value threshold value of setting, produce warning information; Simultaneously when hydrogen, methane, ethane, ethene, acetylene, total hydrocarbon, micro-water content, carbon monoxide and carbon dioxide wherein have one to exceed setting threshold value, also warning information can be produced;
Data analysis for disconnector: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of contact temperature respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of contact temperature is weighted on average according to certain weight, be formed in the tenth dimensionless group between 0 to 1, the health value of disconnector is represented with (1-the tenth dimensionless group) * 100, when the health value of disconnector is less than setting disconnector health value threshold value, produce warning information; Simultaneously when contact temperature wherein has one to exceed setting threshold value, also warning information can be produced;
Data analysis for straight-flow system: set up the monitoring variable of disconnector and the system of time correlation; Automatic basis in real time/data of historical data base form the time series of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road respectively; By all time series fitting a straight lines, by the slope of digital simulation straight line, slope is normalized, forms the value between-1 to 1, and as eigenwert; Respectively the eigenwert of positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road is weighted on average according to certain weight, be formed in the 11 dimensionless group between 0 to 1, the health value of straight-flow system is represented with (1-the 11 dimensionless group) * 100, when the health value of straight-flow system is less than setting straight-flow system health value threshold value, produce warning information; Simultaneously when positive and negative busbar insulating resistance, positive and negative busbar voltage, the positive and negative insulation resistance of branch road wherein have one to exceed setting threshold value, also warning information can be produced.
2. the Transformer Substation Online Monitoring System that a kind of security performance according to claim 1 is high, is characterized in that: described state monitoring agent device is connected with multiple condition monitoring device by multiport transponder; 103/104 communication protocol is adopted between multiport transponder and condition monitoring device.
3. the Transformer Substation Online Monitoring System that a kind of security performance according to claim 1 is high, is characterized in that: adopt I2 interface protocol between described second level Electricity Information Network and station internal information net; DL/T860 stipulations are adopted between status information Access Control machine and state monitoring agent device; DL/T860 stipulations are adopted between status information Access Control machine and condition monitoring device; I2 interface protocol is adopted between interface message processor (IMP) and the shutdown of status information Access Network.
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| CN105631596A (en) * | 2015-12-29 | 2016-06-01 | 山东鲁能软件技术有限公司 | Equipment fault diagnosis method based on multidimensional segmentation fitting |
| US11656279B2 (en) | 2017-10-16 | 2023-05-23 | Hitachi Energy Switzerland Ag | Method for monitoring circuit breaker and apparatus and internet of things using the same |
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